In this work, using the PM3 semi-empirical method, the oxidation of the single-walled carbon nanotube (SWCNT) was studied by sulfuric and nitric acid for the incorporation of carbonyl (C=O), phenol (OH) and carboxylic (COOH) groups in the C=C bonds present on the surface of the nanotube. Subsequently, the crosslinking of the oxidized SWCNT (SWCNTox) and chitosan (Q) was observed through hydrogen bonds of the C=O and OH bonds with 2.34 Å, the process was endothermic and soluble in polar solvents due to the presence of OH and NH groups in the structure of SWCNTox/Q. The Monte Carlo modeling allowed to study the adsorption of pesticides in the SWCNTox/Q at different temperatures, where the QSAR (quantitative structure activity relationship) properties allowed predicting the behavior of the pesticides, that is, the degree of hydrophobicity (log P) and accessible surface area (ASA) were important parameters in the evaluation of SWCNTox/Q as an adsorbent and surface interacting with pesticides respectively. Finally, the adsorption was a physisorption process due to the electronegativity of the CO, OH, NH2, NH and C=O bonds. work PM semiempirical semi empirical method singlewalled single walled (SWCNT C=O, CO , C O (C=O) (OH COOH (COOH CC Subsequently SWCNTox (SWCNTox Q (Q 234 2 34 2.3 Å SWCNToxQ temperatures quantitative relationship is log P ASA (ASA respectively Finally NH2 (C=O 23 3 2.

SIGNIFICANCE: The move away from LIBOR to new risk-free rates is crucial in finance. In this Commentary, I examine South Africa's readiness for transitioning from JIBAR to these new rates, especially regarding interest rate derivatives. I delve into how this shift impacts pricing, unique to South Africa's market. Using a mathematical model based on a 2 x 2 Wishart process, I analyse caplet pricing considering backward- and forward-looking rates. Comparing these caplet types reveals the complexities of pricing in this changing financial landscape. The insights shed light on challenges and opportunities for South Africa and the finance sector as JIBAR nears its end, emphasising the need for robust mathematical strategies in navigating this transition.

ABSTRACT Introduction: The clinical, etiological, anatomical and pathophysiological classification (CEAP) standardizes the manifestations of lower limb venous disease. Objetive: To investigate the association between insufficient venous systems and the clinical classification of CEAP. Method: A quantitative, cross-sectional, analytical, correlational design was carried out. Non-probability sampling for convenience. Sample size was 136 lower limbs from 71 patients. Chi-square, Monte Carlo and Odd ratio (OR) statistical tests were used with 95% confidence intervals through bivariate logistic regression (p<0.05). Results: 71.8% were female, average age of 66.1. The most frequent insufficient venous system was the superficial one (61.7%). 100% of the dilated great saphenous veins (GSV) had insufficiency. The most frequent CEAP clinical class was C2: 44.9%); 35.1% of C1 (telangiectasia) had an insufficient venous system and 50% of C2 had GSV insufficiency (p=0.227). There was an association between insufficiency of the superficial and deep venous systems and the CEAP clinical classification (p=<0.001). The deep venous system was associated with severe chronic venous disease of the lower limbs OR (6.04) with 95% CI (1.02-35.73) and p=0.047. Conclusions: An association was evident between the insufficiency of the superficial and deep venous systems with the clinical classification of CEAP. One third of lower limbs with C1 (telangiectasias) had an insufficient venous system.

RESUMEN Introducción: La clasificación clínica, etiológica, anatómica y fisiopatológica (CEAP) estandariza las manifestaciones de la enfermedad venosa de miembros inferiores. Objetivo: Investigar la asociación entre los sistemas venosos insuficientes y la clasificación clínica del CEAP. Método: Se realizó una investigación tipo cuantitativa, transversal, con diseño analítico, correlacional. El muestreo es no probabilístico por conveniencia. El tamaño de muestra fue136 miembros inferiores de 71 pacientes. Se utilizó las pruebas estadísticas de Chi-cuadrado, Monte Carlo y Odd ratio (OR) con intervalos de confianza del 95 %, mediante regresión logística bivariada (p<0,05). Resultados: El 71,8 % fue femenino con edad media de 66,1. El sistema venoso insuficiente más frecuente fue el superficial: 61,7 %. El 100% de las venas safenas mayores (VSM) dilatadas tenían insuficiencia. La clase clínica CEAP más frecuente fue la C2: 44,9 %; el 35,1 % de C1 (telangiectasia) tenían un sistema venoso insuficiente; el 50 % de C2, insuficiencia de la VSM (p=0,227). Hubo una asociación entre la insuficiencia de los sistemas venosos superficial y profundo y la clasificación clínica del CEAP (p=<0,001). El sistema venoso profundo estuvo asociado a la enfermedad venosa crónica de miembros inferiores grave OR (6,04) con IC95 % (1,02-35,73) y p=0,047. Conclusiones: Se evidenció una asociación entre la insuficiencia de los sistemas venosos superficial y profundo con la clasificación clínica del CEAP. Un tercio de los miembros inferiores con C1 (telangiectasias) tenían un sistema venoso insuficiente.

Abstract The reliability of reinforced concrete (RC) columns in a fire situation is investigated in this paper by combining the General, Equilibrium, and Isotherm at 500 ° C Methods. The well-known Monte Carlo (MC) and the First Order Reliability Method (FORM) are used in a parametric study for the column’s safety. The columns, in a biaxial bending-compression situations, are analyzed by an algorithm that takes into consideration physical and geometric nonlinearities. The dead and live load actions, steel and concrete material strengths, section geometry, model error, and temperature are among the random variables taken into consideration. The findings indicate that increasing the cover can dramatically reduce the probability of failure. RC (RC General Equilibrium 50 Methods wellknown well known MC (MC FORM (FORM column s safety bendingcompression bending compression situations nonlinearities actions strengths geometry error failure 5

Resumo A confiabilidade de pilares de concreto armado (CA) em situação de incêndio é investigada neste artigo combinando os Métodos Geral, de Equilíbrio e da Isoterma a 500 ° C. O Método de Monte Carlo (MC) e o Método de Confiabilidade de Primeira Ordem (FORM) são usados em um estudo paramétrico sobre a segurança das colunas. Os pilares em situação de flexo-compressão oblíqua são analisados por um algoritmo que considera as não linearidades físicas e geométricas. As cargas permanentes e acidentais, resistências do material aço e concreto, geometria da seção, erro de modelo e temperatura estão entre as variáveis aleatórias levadas em consideração. Os resultados indicam que o aumento do cobrimento pode reduzir drasticamente a probabilidade de falha final. CA (CA Geral 50 C MC (MC FORM (FORM colunas flexocompressão flexo compressão geométricas acidentais seção consideração final 5

Abstract Objective To analyze the trend of mortality due to external causes in older adults in Brazil within the temporal interval spanning from 2000 to 2022 and to identify the sociodemographic profile of mortality. Method Ecological time-series study utilizing secondary data, encompassing mortality in older adults due to external causes in Brazil, spanning the period from 2000 to 2022. The data were collected from the databases of the Department of Informatics of the Unified Health System, population estimates, and census population data provided by the Brazilian Institute of Geography and Statistics. The absolute and relative frequency of the data were analyzed using Microsoft Excel 2010 software. The analysis of trends in mortality rates and segmented linear regression was conducted using Joinpoint, with statistical significance assessed through the Monte Carlo test. Results During the investigated period, 572,608 deaths due to external causes were identified in individuals aged 60 years or older. Regarding the mortality pattern due to external causes in older adults, an increasing trend in mortality rates was observed for the majority of the studied period (2000 to 2013) with an annual percent change (APC) of 1.86 (95% CI: 1.5–2.2). Conclusion The results indicate a growing trend in mortality among older individuals due to external causes, highlighting the need for prioritizing public policies that address this issue. 200 202 timeseries time series System estimates Statistics 201 software Joinpoint test 572608 572 608 572,60 6 (200 2013 APC (APC 186 1 86 1.8 95% 95 (95 CI 1.5–2.2. 1522 1.5–2.2 . 5 2 1.5–2.2) issue 20 57260 57 572,6 (20 18 8 1. 9 (9 152 1.5–2. 5726 572, (2 ( 15 1.5–2 1.5– 1.5

Resumo Objetivo analisar a tendência de mortalidade por causas externas em pessoas idosas no Brasil no intervalo temporal entre os anos 2000 e 2022 e identificar o perfil sociodemográfico de mortalidade. Método estudo ecológico de série temporal utilizando dados secundários, envolvendo a mortalidade em pessoas idosas por causas externas no Brasil, no período de 2000 a 2022. Os dados foram coletados a partir das bases de dados do Departamento de Informática do Sistema Único de Saúde, das estimativas da população residente e de dados populacionais censitários disponibilizados pelo Instituto Brasileiro de Geografia e Estatística. A frequência absoluta e relativa dos dados foi analisada a partir do software Excel 2010. As análises das tendências das taxas de mortalidade e regressão linear segmentada foram realizadas por meio do Joinpoint, com significância estatística avaliada por meio do teste de Monte Carl Resultados No período investigado, foram identificados 572.608 óbitos por causas externas em pessoas idosas com 60 anos ou mais. Em relação ao comportamento da mortalidade por causas externas em pessoas idosas, observou-se tendência de aumento nas taxas de mortalidade na maior parte do período estudado (2000 a 2013) com uma variação percentual anual (VPA: 1,86; IC95%: 1,5–2,2). Conclusão os resultados indicam uma tendência de crescimento da mortalidade de pessoas idosas por causas externas, refletindo a necessidade de priorização de políticas públicas que intervenham sobre esse evento. 200 202 secundários Saúde Estatística 2010 Joinpoint investigado 572608 572 608 572.60 6 mais observouse observou se (200 2013 VPA (VPA 1,86 186 1 86 IC95% IC95 IC 1,5–2,2. 1522 1,5–2,2 . 5 2 1,5–2,2) evento 20 201 57260 57 572.6 (20 1,8 18 8 IC9 152 1,5–2, 5726 572. (2 1, 15 1,5–2 ( 1,5– 1,5

ABSTRACT present study aimed to determine the effects of different light restriction levels (shading levels) on soybean genetic parameters using a Bayesian multi-trait model (MTM) and select high-yielding soybean cultivars. Eighteen commercial soybean cultivars bred in a soybean breeding program were evaluated over two agricultural seasons. Three shading levels were used over two agricultural crop seasons, giving six treatments (light restriction × crop season). The experiments were arranged in a randomized complete block design with six treatments replicated thrice. The genetic values and parameters were estimated using a Monte Carlo Markov Chain algorithm. Broad-sense heritability range from 0.2093 to 0.7153. The lowest genotypic variance estimate was observed at the 45 % photosynthetically active radiation level in the 2019/2020 crop season year compared with that of other shading levels. Furthermore, a 40 % selection intensity had the highest soybean yield under different shading levels. The Bayesian MTM combined with the factor analysis and genotype-ideotype distance method can be used to evaluate and select soybean genotypes considering different shading levels. The soybean cultivars 8579RSF, NS8338, NS7901, NS7667, RK8115, and 8473RSF had higher genetic potential than other cultivars under different shading levels. multitrait multi trait (MTM highyielding high yielding seasons season. . season) thrice algorithm Broadsense Broad sense 02093 0 2093 0.209 07153 7153 0.7153 4 20192020 2019 2020 2019/202 Furthermore genotypeideotype genotype ideotype 8579RSF RSF NS8338 NS NS7901 NS7667 RK8115 RK 0209 209 0.20 0715 715 0.715 2019202 201 202 2019/20 NS833 NS790 NS766 RK811 020 20 0.2 071 71 0.71 201920 2019/2 NS83 NS79 NS76 RK81 02 2 0. 07 7 0.7 20192 2019/ NS8 NS7 RK8

Abstract Process simulations can be used to improve grinding circuit performance, which efficiently reduces operating costs. The population balance model (PBM) is widely accepted for grinding modeling because it can reproduce breakage events in tumbling mills, as described by Austin et al. (1984). In this study, a pseudo-dynamic model is introduced, integrating the PBM with the Monte Carlo Method to stochastically simulate variables in an industrial grinding circuit. This integrated approach enabled circuit simulations over a period of 2 hours, representing the operational variables as seen in historical data. Model validation showed a correlation of 0.74 in the product size distribution when comparing simulated outcomes with the original population. performance costs (PBM mills al 1984. 1984 . (1984) study pseudodynamic pseudo dynamic introduced hours data 074 0 74 0.7 198 (1984 07 7 0. 19 (198 1 (19 (1 (

Abstract Medicines must be subject to physical, chemical, and biological analysis to guarantee their quality, safety, and effectiveness. Despite the efforts to ensure the reliability of analytical results, some uncertainty will always be associated with the measured value, which can lead to false decisions regarding conformity/non-conformity assessment. This work aims to calculate the specific risk of false decisions regarding conformity/non-conformity of acetaminophen oral solution dosage form. The acetaminophen samples from five different manufacturers (A, B, C, D, and E) were subject to an active pharmaceutical ingredient assay, density test, and dose per drop test according to the official compendia. Based on measured values and their respective uncertainties, the risk values were calculated using the Monte Carlo method implemented in an MS Excel spreadsheet. The results for two acetaminophen oral solution samples (C and D) provided an increased total risk value of false acceptance (33.1% and 9.6% for C and D, respectively). On the other hand, the results for the other three acetaminophen samples (A, B, and E) provided a negligible risk of false acceptance (0.004%, 0.025%, and 0.045% for A, B, and E, respectively). This indicates that measurement uncertainty is very relevant when a conformity assessment is carried out, and information on the risks of false decisions is essential to ensure proper decisions. physical chemical quality safety effectiveness conformity/nonconformity conformitynonconformity conformity/non non form A (A B D E assay compendia uncertainties spreadsheet 33.1% 331 33 1 (33.1 96 9 6 9.6 respectively. respectively . respectively) hand 0.004%, 0004 0 004 (0.004% 0025 025 0.025% 0045 045 0.045 out nonconformity conformitynon 33.1 3 (33. 9. 0.004% 000 00 (0.004 002 02 0.025 04 0.04 33. (33 0.004 (0.00 0.02 0.0 (3 0.00 (0.0 0. ( (0. (0

Abstract The quality, efficacy, and safety of medicines are usually verified by analytical results. Measurement uncertainty is a critical aspect for the reliability of these analytical results. The pharmacopeial compendia usually adopt a simple acceptance rule that does not consider information from measurement uncertainty. In this work, we compared decision-making using simple acceptance and decision rules with the use of guard-band for multiparameter evaluation of ofloxacin ophthalmic solution and acyclovir topical cream. Ciprofloxacin ophthalmic solution and acyclovir topical cream samples were subject to pharmacopeial tests and assays. Multivariate guard-band widths were calculated by multiplying the standard uncertainty (u) by an appropriate multivariate coverage factor (k’). The multivariate coverage factor (k’) was obtained by the Monte Carlo method. According to the simple acceptance rule, all the results obtained for ciprofloxacin ophthalmic solution and acyclovir topical cream are within the specification limits. However, the risk of false conformity decisions increases for ciprofloxacin tests. Decisions made using the simple acceptance rule and decision rules with the use of guard-band may differ. The simple acceptance rule may increase the risk of false conformity decisions when the measured value is close to the regulatory specification limits and/or when the measurement uncertainty value is inappropriately high. Nevertheless, the guard-band decision rule will always reduce the risk of false conformity decisions. Therefore, using information on measurement uncertainty in conformity assessment is highly recommended to ensure the proper efficacy, safety, and quality of medicines. efficacy work decisionmaking making guardband guard band assays u (u k. k . (k’ method However differ andor or high Nevertheless Therefore (k

Abstract This trial-based economic evaluation aimed to estimate the incremental cost of implementing an active learning strategy (theoretical-practical workshop) to substitute the didactic lecture as the sole method for students training in caries detection. We also provided a budget impact analysis and explored the composition of costs related to the activity. Data from the coordinating centre of a multicentre randomized and controlled study (IuSTC01) was analyzed as the first part of our main economic analysis plan. The perspective of the educational provider (the institution implementing the activity) was considered, and an immediate time horizon was adopted. All used resources were valued in Brazilian Real by adopting a microcosting strategy. Costs for each strategy were estimated and converted into international dollars. The incremental Cost per student and the total cost of implementing the complete teaching strategy for 80 students were calculated. Monte Carlo simulations were used to estimate the uncertainties. The incremental Cost estimated for the workshop implementation would be $7.93 per student (interquartile range (IQR): $7.8–8.1), and the total cost of the teaching activity would be $684 (IQR:672–696). The laboratory training comprised more than 50% of the total amount spent, and a higher percentage of this value was related to human resources costs (72%). Saving 40% of the costs could be expected for the next rounds of activities in the institution, assuming no need for additional preparation of didactic materials and tutor training. A modest incremental cost per student and an acceptable organizational budget impact should be expected for the institution when including active learning training in caries detection for undergraduate students, mainly related to the human resources involved. trialbased trial based theoreticalpractical theoretical practical IuSTC01 IuSTC (IuSTC01 plan considered adopted dollars 8 calculated uncertainties 793 7 93 $7.9 interquartile IQR (IQR) $7.8–8.1, 7881 $7.8–8.1 , 1 $7.8–8.1) 684 $68 IQR672–696. IQR672696 672–696 . 672 696 (IQR:672–696) 50 spent 72%. 72 72% (72%) 40 involved IuSTC0 (IuSTC0 79 9 $7. (IQR 788 $7.8–8. 68 $6 IQR672 IQR672–696 IQR67269 672696 672–69 67 69 (IQR:672–696 5 (72% 4 (IuSTC $7 78 $7.8–8 6 $ IQR67 IQR672–69 IQR6726 67269 672–6 (IQR:672–69 (72 $7.8– IQR6 IQR672–6 6726 672– (IQR:672–6 (7 $7.8 IQR672– (IQR:672– ( (IQR:672 (IQR:67 (IQR:6 (IQR:

ABSTRACT Natural disasters often affect communities that become unable to access vital items. Not infrequently, the profile and scale of disasters require the delivery of various types of material and vital items, gaining prominence in these contexts the launching cargo by aircraft. This study presents a mathematical ballistic launch model that incorporates the main random variables that influence the trajectory of the load, making it possible to conduct analyses to improve the accuracy of launchings. In this way, Monte Carlo Simulations were utilized to investigate the trajectory deviations as a function of certain combinations of controlled factors in the model. Based on these findings, a Response Surface method was implemented, enabling the development of flight profiles that minimize load deviations from a desired impact point on the ground. items infrequently aircraft launchings way findings implemented ground

ABSTRACT The standardized precipitation-evapotranspiration index (SPEI) is a widely used probability-based method that categorizes drought and wet events based on their expected frequency of occurrence. Regional frequency analysis based on L-moments (RFA-Lmom) is often employed to enhance probabilistic assessments of extreme hydrological data, which typically assume positive values. This study investigated whether applying the RFA-Lmom regionalization technique to the difference between precipitation and potential evapotranspiration (P-PE), the input variable for SPEI, can improve the index’s ability to meet the normality assumption. We conducted analyses using Monte Carlo experiments, accounting for distinct climate conditions worldwide, and a case study in the watershed of the Piracicaba, Capivari and Jundiaí rivers, situated in the states of São Paulo and Minas Gerais, Brazil. In this region, P-PE frequency distributions may exhibit negative and positive sample means. Our findings suggested that modifying the RFA-Lmom method by replacing the L-moment ratio L-CV with the L-moment scale measure and using an additive model (instead of the original multiplicative procedure) for SPEI calculation allows the application of this regionalization technique to P-PE amounts. This adapted RFA-Lmom consistently enhanced the ability of SPEI frequency distributions to meet their normality assumption, thereby improving the quality of drought assessments based on this standardized index. precipitationevapotranspiration (SPEI probabilitybased probability occurrence Lmoments L moments RFALmom RFA Lmom (RFA-Lmom data values PPE, PPE P PE , (P-PE) indexs s assumption experiments worldwide Piracicaba rivers Gerais Brazil region means Lmoment moment LCV CV instead procedure amounts (P-PE

Abstract Paper aims The Solid Waste Collection (SWC) process is fundamental to maintaining the healthiness of cities and protecting the environment. There is a lack of methodologies for integrating process quality control techniques to evaluate SWC performance. This article develops a methodological implementation with a simulation-based optimization technique to model SWC process. Originality Development of new simulation-based optimization techniques and tools that improve and complement the traditional analysis of variables in SWC Process. Research method Feasible solutions are obtained through an optimization stage and then solutions are used as inputs for the simulation stage. Main findings There is a high correlation between the total tons collected and the total time. It is possible to optimize the collection routes by integrating process quality control techniques to reduce the total travel time, which will reduce the operating costs and the environmental impact. Simulation results demonstrate a reduction in error of over 90% for each day, with an optimization of 55% in total times. Implications for theory and practice The methodology enables the collection of data and results that accurately reflect the behavior and performance of the SWC process. By studying the process variability and uncertainty, enhancing the reliability and robustness of the results. (SWC environment simulationbased based Process time impact 90 day 55 times uncertainty 9 5

Abstract Monte Carlo simulations are widely used in analysis of interference between radiocommunication systems. The method performs n random experiments, each called an event, snapshot, or trial, to estimate the statistics of some parameter of the problem (for instance, the interference level). There is no formalization about the number of events necessary to run a simulation. In practice, this is often done based on the intuition of the analyst about the model. In this paper, we propose how to choose a number of events for Monte Carlo simulations. We address this issue by understanding that the protection criteria for radiocommunication systems are usually related to a quantile of the result, and then calculating the number of events for which it is also possible to estimate a confidence interval for it. Results show that, for a confidence level of 99.9%, it is possible to estimate confidence intervals for p-quantiles for p up to 99.89% with 10000 events. experiments event snapshot trial instance level. . level) simulation practice model paper result 999 99 9 99.9% pquantiles quantiles 9989 89 99.89 1000 99.9 998 8 99.8 100 99. 10 1

Abstract The present study modeled the adsorption process of the drug diclofenac sodium on activated charcoal. For this purpose, a mass balance-based model was used considering a fixed bed column. The mass transfer rate in the solid phase was represented by a driving force model proposed in this study, and a gamma exponent with a range of 0 > γ ≤ 2 was assigned to the model. Different isotherms were adopted to represent the equilibrium at the solid/liquid interface: the Langmuir, Freundlich, Sips and Redlich-Peterson isotherms. The modeling was approached from the perspective of Bayesian statistics, and the Markov chain Monte Carlo method was used for parameter estimation. Model validation was performed with experimental data obtained under different operating conditions of initial concentration ($C_{0 charcoal purpose balancebased balance based column solidliquid liquid interface Langmuir Freundlich RedlichPeterson Redlich Peterson statistics estimation $C_0 C0 C $C_ ($C_{ $C ($C_ ($C